11792209

Robust Learning of Web Traffic

PublishedOctober 17, 2023
Assigneenot available in USPTO data we have
InventorsItsik Mantin
Technical Abstract

Patent Claims
11 claims

Legal claims defining the scope of protection, as filed with the USPTO.

4

4. The method of claim 1, wherein the threshold of network traffic corresponds to a predetermined number of total network requests received.

5

5. The method of claim 1, wherein the threshold of traffic information corresponds to a predetermined number of network requests comprising a specific location characteristic.

6

6. The method of claim 1, wherein each of the plurality of location characteristics comprises an identification of at least one of a: host, uniform resource locator (URL), method, query string parameter, body parameter, or cookie of the website or the application program interface (API) that the network traffic is associated with.

7

7. The method of claim 1, wherein the location profile identifies a plurality of location characteristics and corresponding allowable content.

11

11. The system of claim 8, wherein the threshold of network traffic corresponds to a predetermined a number of total network requests received.

12

12. The system of claim 8, wherein the threshold of traffic information corresponds to a predetermined a number of network requests comprising a specific location characteristic.

13

13. The system of claim 8, wherein each of the plurality of location characteristics comprises an identification of at least one of a: host, uniform resource locator (URL), method, query string parameter, body parameter, or cookie of the website or the application program interface (API) that the network traffic is associated with.

14

14. The system of claim 8, wherein the location profile identifies a plurality of location characteristics and corresponding allowable content.

18

18. The non-transitory computer-readable storage medium of claim 15, wherein the threshold of network traffic corresponds to a predetermined a number of total network requests received.

19

19. The non-transitory computer-readable storage medium of claim 15, wherein each of the plurality of location characteristics comprises an identification of at least one of a: host, uniform resource locator (URL), method, query string parameter, body parameter, or cookie of the website or the application program interface (API) that the network traffic is associated with.

20

20. The non-transitory computer-readable storage medium of claim 15, wherein the location profile identifies a plurality of location characteristics and corresponding allowable content.

Patent Metadata

Filing Date

Unknown

Publication Date

October 17, 2023

Inventors

Itsik Mantin

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Cite as: Patentable. “ROBUST LEARNING OF WEB TRAFFIC” (11792209). https://patentable.app/patents/11792209

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ROBUST LEARNING OF WEB TRAFFIC — Itsik Mantin | Patentable